Search Results for author: Hongbo Fu

Found 21 papers, 10 papers with code

SketchHairSalon: Deep Sketch-based Hair Image Synthesis

no code implementations16 Sep 2021 Chufeng Xiao, Deng Yu, Xiaoguang Han, Youyi Zheng, Hongbo Fu

At the second stage, another network is trained to synthesize the structure and appearance of hair images from the input sketch and the generated matte.

SimpModeling: Sketching Implicit Field to Guide Mesh Modeling for 3D Animalmorphic Head Design

1 code implementation5 Aug 2021 Zhongjin Luo, Jie zhou, Heming Zhu, Dong Du, Xiaoguang Han, Hongbo Fu

In this work, we propose SimpModeling, a novel sketch-based system for helping users, especially amateur users, easily model 3D animalmorphic heads - a prevalent kind of heads in character design.

UPDesc: Unsupervised Point Descriptor Learning for Robust Registration

no code implementations5 Aug 2021 Lei LI, Hongbo Fu, Maks Ovsjanikov

Instead of using a predefined fixed-size local support in voxelization, which potentially limits the access of richer local geometry information, we propose to learn the support size in a data-driven manner.

Metric Learning Point Cloud Registration

VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation

1 code implementation29 Jul 2021 Zeyu Hu, Xuyang Bai, Jiaxiang Shang, Runze Zhang, Jiayu Dong, Xin Wang, Guangyuan Sun, Hongbo Fu, Chiew-Lan Tai

Experimental results validate the effectiveness of VMNet: specifically, on the challenging ScanNet dataset for large-scale segmentation of indoor scenes, it outperforms the state-of-the-art SparseConvNet and MinkowskiNet (74. 6% vs 72. 5% and 73. 6% in mIoU) with a simpler network structure (17M vs 30M and 38M parameters).

3D Semantic Segmentation

Autoregressive Stylized Motion Synthesis With Generative Flow

no code implementations CVPR 2021 Yu-Hui Wen, Zhipeng Yang, Hongbo Fu, Lin Gao, Yanan sun, Yong-Jin Liu

Motion style transfer is an important problem in many computer graphics and computer vision applications, including human animation, games, and robotics.

Motion Capture motion synthesis +1

Scale-aware Insertion of Virtual Objects in Monocular Videos

no code implementations4 Dec 2020 SongHai Zhang, Xiangli Li, Yingtian Liu, Hongbo Fu

To handle the incompleteness of objects recovered from videos, we propose a novel scale estimation method that extracts plausible dimensions of objects for scale optimization.

Deep Generation of Face Images from Sketches

1 code implementation1 Jun 2020 Shu-Yu Chen, Wanchao Su, Lin Gao, Shihong Xia, Hongbo Fu

Our method essentially uses input sketches as soft constraints and is thus able to produce high-quality face images even from rough and/or incomplete sketches.

Image-to-Image Translation

D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features

2 code implementations CVPR 2020 Xuyang Bai, Zixin Luo, Lei Zhou, Hongbo Fu, Long Quan, Chiew-Lan Tai

In this paper, we leverage a 3D fully convolutional network for 3D point clouds, and propose a novel and practical learning mechanism that densely predicts both a detection score and a description feature for each 3D point.

Point Cloud Registration

SketchGNN: Semantic Sketch Segmentation with Graph Neural Networks

1 code implementation2 Mar 2020 Lumin Yang, Jiajie Zhuang, Hongbo Fu, Xiangzhi Wei, Kun Zhou, Youyi Zheng

We introduce SketchGNN, a convolutional graph neural network for semantic segmentation and labeling of freehand vector sketches.

Semantic Segmentation

SketchDesc: Learning Local Sketch Descriptors for Multi-view Correspondence

no code implementations16 Jan 2020 Deng Yu, Lei LI, Youyi Zheng, Manfred Lau, Yi-Zhe Song, Chiew-Lan Tai, Hongbo Fu

In this paper, we study the problem of multi-view sketch correspondence, where we take as input multiple freehand sketches with different views of the same object and predict as output the semantic correspondence among the sketches.

Semantic correspondence

Language-based Colorization of Scene Sketches

1 code implementation Transactions on Graphics 2019 Changqing Zou, Haoran Mo, Chengying Gao, Ruofei Du, Hongbo Fu

Being natural, touchless, and fun-embracing, language-based inputs have been demonstrated effective for various tasks from image generation to literacy education for children.

Colorization Image Generation +2

DeepSketchHair: Deep Sketch-based 3D Hair Modeling

no code implementations20 Aug 2019 Yuefan Shen, Changgeng Zhang, Hongbo Fu, Kun Zhou, Youyi Zheng

The key enablers of our system are two carefully designed neural networks, namely, S2ONet, which converts an input sketch to a dense 2D hair orientation field; and O2VNet, which maps the 2D orientation field to a 3D vector field.


SDM-NET: Deep Generative Network for Structured Deformable Mesh

no code implementations13 Aug 2019 Lin Gao, Jie Yang, Tong Wu, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai, Hao Zhang

At the structural level, we train a Structured Parts VAE (SP-VAE), which jointly learns the part structure of a shape collection and the part geometries, ensuring a coherence between global shape structure and surface details.

Mesh Variational Autoencoders with Edge Contraction Pooling

1 code implementation7 Aug 2019 Yu-Jie Yuan, Yu-Kun Lai, Jie Yang, Hongbo Fu, Lin Gao

3D shape analysis is an important research topic in computer vision and graphics.

Sketch-R2CNN: An Attentive Network for Vector Sketch Recognition

no code implementations20 Nov 2018 Lei Li, Changqing Zou, Youyi Zheng, Qingkun Su, Hongbo Fu, Chiew-Lan Tai

To bridge the gap between these two spaces in neural networks, we propose a neural line rasterization module to convert the vector sketch along with the attention estimated by RNN into a bitmap image, which is subsequently consumed by CNN.

Sketch Recognition

LUCSS: Language-based User-customized Colourization of Scene Sketches

no code implementations30 Aug 2018 Changqing Zou, Haoran Mo, Ruofei Du, Xing Wu, Chengying Gao, Hongbo Fu

We introduce LUCSS, a language-based system for interactive col- orization of scene sketches, based on their semantic understanding.


Active Object Reconstruction Using a Guided View Planner

no code implementations8 May 2018 Xin Yang, Yuanbo Wang, Yaru Wang, Bao-Cai Yin, Qiang Zhang, Xiaopeng Wei, Hongbo Fu

Inspired by the recent advance of image-based object reconstruction using deep learning, we present an active reconstruction model using a guided view planner.

Object Reconstruction

Color Orchestra: Ordering Color Palettes for Interpolation and Prediction

no code implementations17 Mar 2017 Huy Q. Phan, Hongbo Fu, Antoni B. Chan

As artists often use their personal color themes in their paintings, making these palettes appear frequently in the dataset, we employed density estimation to capture the characteristics of palette data.

Density Estimation

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